Journal Information
Automation
https://www.mdpi.com/journal/automationPublisher: |
MDPI |
ISSN: |
2673-4052 |
Viewed: |
4660 |
Tracked: |
0 |
Call For Papers
Aims Automation (ISSN 2673-4052) is dedicated to the dissemination of rigorously peer-reviewed publications on automation, control, and allied topics. As an open access journal, Automation aims at providing high visibility and timely research impact, and is committed to rapid publication. The journal provides a venue for both specialized and multi-disciplinary research on automation and control and their applications. Automation publishes full research papers, communications and review articles. There is no restriction on the length of papers and no additional charges for color figures, etc. Electronic files supplying details of calculations and of experimental procedures can be deposited as supplementary materials. Scope Automation covers a broad range of areas, such as studies related to the following topics: Control theory Optimization algorithms Networked systems System condition monitoring Manufacturing systems Energy management systems Aerospace control systems Micro- and nano-systems Learning systems Intelligent control systems Artificial neural networks Motion control and sensing Supervisory control and data acquisition Process automation and monitoring Fault detection and diagnosis Sensors and signal processing Robotics and applications Human-machine systems and interfaces Devices and instruments
Last updated by Dou Sun in 2021-04-09
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Full Name | Impact Factor | Publisher |
---|---|---|
IEEE Transactions on Automatic Control | 5.093 | IEEE |
Journal of Library Automation | American Library Association | |
Operations Research Letters | 1.154 | Elsevier |
Computation | MDPI | |
The International Journal of Advanced Manufacturing Technology | 3.226 | Springer |
International Journal of Game Theory and Technology | AIRCC | |
Journal of Automated Reasoning | 0.944 | Springer |
Journal of Documentation | 1.573 | Emerald |
Journal of Simulation | 1.533 | Taylor & Francis |
AI Communications | 0.837 | IOS Press |
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